GET.ON Recovery (Primary Studies)

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Chronological data

Year of publication2025
Date of availability in catalog2025-08-19
Available from / since 2025-08-19

Language of the resource

German

Related external resources

Supplement to DOI: 10.1136/bmjment-2024-301016
Brückner, H., Wallot, S., Horvath, H., Ebert, D. D., & Lehr, D. (2024). Effectiveness of an online recovery training for employees exposed to blurred boundaries between work and non-work: Bayesian analysis of a randomised controlled trial. BMJ mental health, 27(1), Artikel e301016.
Supplement to DOI: 10.2196/13346
Behrendt, D., Ebert, D. D., Spiegelhalder, K., & Lehr, D. (2020). Efficacy of a Self-Help Web-Based Recovery Training in Improving Sleep in Workers: Randomized Controlled Trial in the General Working Population. Journal of Medical Internet Research, 22(1), Artikel e13346.
Supplement to DOI: 10.5271/sjweh.3478
Thiart, H., Lehr, D., Ebert, D. D., Berking, M., & Riper, H. (2015). Log in and breathe out: internet-based recovery training for sleepless employees with work-related strain: results of a randomized controlled trial. Scandinavian Journal of Work, Environment and Health, 41(2), 164-174.

Related PubData resources

Supplement to

Item type Resource ,
Journal Article
Brückner, Hanna; Wallot, Sebastian; Horvath, Hanne; Ebert, David Daniel; Lehr, Dirk

Abstract

GET.ON-Recovery is a digital intervention with six weekly sessions based on cognitive-behavioral therapy for insomnia and adapted to the needs of employees. The adaptation follows a theoretical framework assuming behavioral change in recreational activities facilitating mental detachment from work-related stressors and diminishing work-related rumination, which in turn affects sleep. The intervention has ben evaluated in four primary studies on different target groups, showing high effectiveness on insomnia severity symptoms.

Resource type

Dataset

Kinds of Data

Survey Data
Clinical Data / Patient Data

Methods

Experiment (Field, Intervention)
Computer-assisted questionnaire

Thematic classification

Digital Health

Keywords

Schlaflosigkeit; Schlaf; Schlafstörung; Arbeitsgesundheit; Mentale Gesundheit; Verhaltenstherapie; Intervention; Internetbasiert; Wirksamkeit; Digitale Gesundheit; Arbeitnehmer; Erholung; Freizeitaktivitäten; Stress; Stressbewältigung; Grübeln; Arbeit; Kognitive Irritation; Insomnia; Sleep; Sleep Disorder; Occupational Health; Mental Health; Behavioral Therapy; Intervention; Internet-based; Efficiency; Digital Health; Employee; Recovery; Recreational Activities; Stress; Stress Management; Rumination; Work; Cognitive Irritation

More information

Time Period of the Collection of the Data

2014

Time Period of the Creation of the Dataset

2014

Temporal Coverage of the Dataset

Geolocation (Country)

Germany

Geolocation (Region/Location)